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šŸŽ„ Google Photos adds text to video creation...

Claude brings Slack Figma and Canva into chat

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Welcome back to BrainBuzz

Today’s Recipes:

  • šŸŽ„ Google Photos adds text to video creation...

  • āš–ļø YouTubers sue Snap over AI training

  • 🧠 Microsoft reveals high power AI chip

  • Gemini may remind you to take a break

  • Pinterest layoffs hit 15% of workforce

  • Claude brings Slack Figma and Canva into chat

  • AI Tutorial of the Day

  • And More….

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LATEST DEVELOPMENTS

Google Photos now lets users turn images into videos using text prompts, giving more creative control over movement, style, and effects, with audio included by default.

šŸ” Details

  1. Previous Limitation: Only preset options like ā€œSubtle Movementā€ or ā€œI’m feeling lucky.ā€

  2. New Feature: Users can now describe video effects with text prompts.

  3. Customization: Prompts can be edited and refined; Google also suggests ideas.

  4. Age Restriction: Available to users 18+ (Gemini allows 13+).

  5. Regional Availability: Not yet rolled out everywhere; features vary by location.

  6. Audio Support: Videos now include audio by default, ready for publishing.

āœ… Takeaway: Google Photos is evolving into a more powerful AI editor, giving users creative freedom to animate images with text-driven video effects.

YouTubers accuse Snap of illegally using their videos to train AI models, joining lawsuits against major tech firms over copyright misuse.

šŸ” Details

  1. Who’s suing: Creators behind h3h3, MrShortGame Golf, and Golfholics (6.2M subscribers combined).

  2. Allegation: Snap used their YouTube videos to train AI features like Imagine Lens.

  3. Dataset issue: Snap allegedly exploited HD-VILA-100M, meant for research, not commercial use.

  4. Legal claim: Plaintiffs say Snap bypassed YouTube’s restrictions and licensing rules.

  5. Scope: Part of broader wave of lawsuits against Nvidia, Meta, ByteDance, and others.

  6. Relief sought: Statutory damages + permanent injunction to stop further infringement.

  7. Context: Over 70 similar copyright cases filed against AI companies; outcomes vary.

āœ… Takeaway: This lawsuit highlights growing tension between creators and AI firms, copyright battles could shape how future AI models are trained.

Microsoft launches Maia 200, a custom AI inference chip with 100B+ transistors, delivering faster, more efficient performance to rival Nvidia, Google, and Amazon.

šŸ” Details

  1. Launch: Microsoft introduces Maia 200, successor to Maia 100 (2023).

  2. Specs: 100B+ transistors, 10 petaflops (4-bit), ~5 petaflops (8-bit).

  3. Purpose: Optimizes AI inference, running models faster, cheaper, with lower power use.

  4. Performance: Outperforms Amazon’s Trainium3 and Google’s TPU v7 in FP4/FP8 benchmarks.

  5. Use Cases: Already powering Microsoft’s Superintelligence team and Copilot chatbot.

  6. Strategy: Reduces reliance on Nvidia GPUs, aligning with industry trend of custom chips.

  7. Access: SDK available for developers, academics, and AI labs to test workloads.

āœ… Takeaway: Maia 200 positions Microsoft as a serious player in AI hardware, cutting costs and boosting efficiency while challenging Nvidia’s dominance.

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MORE AI & TECH UPDATES

Google is experimenting with a new wellness-focused feature in its Gemini AI assistant that encourages users to take breaks during extended conversations…

Pinterest has announced a major restructuring plan that will reduce its global workforce by nearly 15% as the company shifts resources toward artificial intelligence initiatives…

Nvidia has unveiled its new Earth-2 suite of AI weather forecasting models, promising faster, more accurate predictions that could reshape global meteorology…

Anthropic has announced a major update to its Claude AI platform, introducing interactive integrations with popular workplace tools such as Slack, Asana, Figma, Canva, Box, and more…

POLL OF THE DAY

Should we pause AI progress to make sure it's safe?

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HOW TO AI

In a world increasingly driven by artificial intelligence, the idea of having a personalized AI assistant is no longer a futuristic fantasy.

Key Highlights:

  • Start with a Clear Purpose.

  • Leverage No-Code and Low-Code Platforms.

  • Focus on Iterative Development.

  • Prioritize Data Privacy.

  • Embrace the Power of Prompt Engineering.

  • Consider the Ethical Implications.

THAT’S A WRAP

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